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Identifying subtypes of dual alcohol and marijuana users: a methodological approach using cluster analysis
Magdalena Harrington1, Janette Baird, Christina Lee
1Department of Psychology, University of Rhode Island, Kingston, RI, USA.
Addictive Behaviors
|September 30, 2011
Summary
Daily use of both alcohol and marijuana is linked to the highest risk of negative consequences and risky behaviors. Understanding these substance use patterns is crucial for targeted interventions.
Area of Science:
- Substance Use Research
- Behavioral Science
- Public Health
Background:
- Alcohol is the most common psychoactive substance used with marijuana.
- Limited understanding of how varying levels of alcohol and marijuana use impact risks, injuries, and psychosocial functioning.
- Lack of systematic identification of alcohol and marijuana use patterns associated with increased risks.
Purpose of the Study:
- To identify distinct patterns of co-use of alcohol and marijuana.
- To examine the association between these patterns and risky behaviors, injuries, and psychosocial functioning.
- To determine the clinical relevance of different co-use patterns.
Main Methods:
- Secondary analysis of data from a randomized controlled trial (RCT).
- Cluster analysis of past 30-day alcohol and marijuana use patterns in two subsamples (N₁=210, N₂=217).
- Analysis of external validity using ANOVA to assess psychosocial and behavioral differences among identified clusters.
Main Results:
- Four distinct subtypes of alcohol and marijuana co-users were identified and replicated across subsamples: Daily Marijuana/Weekly Alcohol, Weekly Alcohol/Weekly Marijuana, Daily Alcohol/Daily Marijuana, and Daily Alcohol/Weekly Marijuana.
- Significant differences in psychosocial negative consequences and risky behaviors were observed among the subtypes.
- Daily Alcohol and Daily Marijuana users exhibited the highest risk for negative consequences and a broader spectrum of risky behaviors.
Conclusions:
- Distinct patterns of alcohol and marijuana co-use exist.
- The pattern of daily use of both substances poses the greatest risk for adverse outcomes.
- Identifying specific co-use patterns is essential for understanding associated risks and developing targeted interventions.
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